If we generalize the ongoing experience of the little boy's quest to say up later, A and ~A are both evidence of B.
You seem to be using "evidence of X" to mean something along the lines of "consistent with X". That's not what it means in this context.
An event is evidence for or against a scenario insofar as it changes your subjective probability estimate for that scenario. Your example child going enthusiastically to bed is in fact evidence that he's changed his mind about staying up past his bedtime: it makes that scenario subjectively more plausible, even though it's still probably a long-shot option given what you know. It might simultaneously be evidence for some new bedtime-avoidance scheme, but that's entirely consistent with it also pointing to a possible change of heart: the increased probability of both is made up for in the reduced probability of him continuing with his old behavior.
Subjective probabilities for either/or scenarios have to sum to unity, and so evidence for one such option has to be balanced out by evidence against one or more of the others. A and ~A cannot both be evidence for a given scenario; at best they can both leave it unaffected.
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Here's a contradiction with A and ~A both being evidence for the same thing. You could tell your spouse "Go up and check if little Timmy went to bed". Before ze comes back you already have an estimate of how likely Timmy is to go to bed on time (your prior belief). But then your spouse, who was too tired to climb the stairs, comes back and tells you "Little Timmy may or may not have gone to bed". Now, if both of those possibilities would be evidence of Timmy's staying up late then you should update your belief accordingly. But how can you do that without receiving any new information?
Yes. I get that. We cannot use A and ~A to update our estimates in the same way at the same time. That's not the same as saying that it is impossible for A and ~A to be evidence of the same thing. One could work on Tuesday, and the other could work on Friday, depending on the situation. That was my only point: can't generalize a timeline but need to operate at specific points on that timeline. That goes back to the justification for interning Japanese citizens. If we say ~A just can't ever be evidence of B because at some previous time A was evidence for B, then we are making a mistake. At some later date, ~A could end up being better evidence, depending on the situation. My point was that a better counterargument to the governor's justification is to point out that the prospect of naturalized citizens turning against their home country in favor of their country of ancestry presents a very low prior, because the Japanese (and other groups that polyglot nations have gone to war with) have not usually behaved that way in the past. I could be wrong, but it doesn't have anything to do with updating estimates with a variable and its negation to reach the same probability at the same time. I pretty much agree with what you said, just not the implication that it conflicts in some way with what I said.